Abstract
Microglial cells undergo multiple morphological and immunophenotypic changes during normal aging. Abnormal morphology, which includes fewer and shorter ramifications, beading and spheroid swellings, has been observed particularly in the cerebral cortex, as well as in and around the white matter. In aged animals, microglia express some surface antigens which are not normally present in their young counterparts, in addition to presenting altered motility and phagocytosis. Aged microglia exhibit an aberrant production of pro- and anti-inflammatory mediators, accompanied by an exacerbated inflammatory response to pathological changes, a phenomenon known as microglial “priming.” Lysosomal dysfunction and mitochondrial DNA oxidative damage further accumulate in aged microglia, resulting in an increased production of reactive oxygen species. These changes could contribute to mediating the neuronal dysfunction observed during normal aging and facilitate the onset of age-associated cognitive decline, as well as neurodegenerative diseases. In this chapter, we describe microglial aging at the cellular and molecular levels, the implications for diseases, and potential strategies to slow down aging based on preserving lysosomal and mitochondrial function.
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Keywords
- Microglia
- Neuroinflammation
- Cytokines
- Priming
- Reactive oxygen species
- Oxidative stress
- lysosome
- Mitochondria
- DNA damage
- NFκB
- Cathepsin B
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Microglial cells undergo various morphologic and immunophenotipic changes during normal aging.
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Aged microglia show an impaired motility towards damage signals, probably reflecting a decreased surveillance capacity.
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Microglial proliferation and phagocytosis of different types of cargo are affected with aging.
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Aged microglia exhibit an altered expression of cytokines and exacerbated inflammatory response, a phenomenon known as microglial “priming.”
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Lysosomal dysfunction and mitochondrial DNA oxidative damage also accumulate in microglia during aging, resulting in the increased production of reactive oxygen species (ROS) and activation of the microglial inflammasome.
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These changes are probably both cell autonomous and the result of an altered aging brain milieu.
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The overall contribution of aging microglia to the onset of cognitive dysfunction and neurodegenerative diseases remains to be experimentally tested.
1 Introduction
Aging (or senescence) is a complex process of cumulative changes affecting an organism with the passage of time. Aging increases the vulnerability to death and is a primary risk factor for major human pathologies, including cancer, diabetes, cardiovascular disorders, and neurodegenerative diseases. It is characterized by a progressive loss of physiological integrity, leading to impaired function in various levels and systems of the organism, such as skeletal muscles (Klein et al. 2001; Thompson 2009), cardiovascular, endocrine, respiratory processes (Fadel et al. 2004; Lipsitz 2002; Smith et al. 2005), and central nervous system (CNS) activity (Smith et al. 2005). These changes are generally accompanied by alterations in behavior, associated with increased tremor, loss of balance control, and decreased walking proficiency (Glenn et al. 2004; Lipsitz 2002; Lipsitz and Goldberger 1992). The ability to perform complex dual learning tasks, such as memorizing word lists while walking, also significantly decreases during aging (Lindenberger et al. 2000; Salat et al. 2005), even though many elderly people preserve to a certain degree their cognitive abilities (Shock et al. 1984).
At the cellular level, senescence is characterized by the accumulation of DNA damage, oxidative stress, chronic inflammatory activity, and an imbalance between the levels of pro- and anti-inflammatory cytokines in various tissues, including the brain. Cellular aging is also associated with the shortening of telomeres and the activation of tumor suppressor genes (reviewed in Lopez-Otin et al. 2013). The potentially damaging elements may be produced by the organism itself (e.g., cytokines, radical species, eicosanoids, among other mediators) or derived from the prolonged exposure to physical, chemical, or biological agents (e.g., ionic radiation, pollutants, pathogens; see Chap. 6 for further reading) (Droge and Schipper 2007; Vijg and Campisi 2008). In addition, some responses of the immune system particularly decline with age, increasing the susceptibility to infections and cancer, whereas other responses are exacerbated, facilitating the onset of autoimmune diseases (Yung and Julius 2008). As the blood-brain barrier (BBB) undergoes several changes during aging (Marques et al. 2013), it is possible that aging leads to an increased surveillance of the brain parenchyma by peripheral monocytes and lymphocytes, which could further contribute to the aging process. In fact, the expression levels of chemotactic molecules such as interferon-inducible protein 10 (IP-10) and monocyte chemotactic protein-1 (MCP-1), but also the infiltration of CD11b+ CD45high cells identified as monocytes, were shown to be increased ex vivo in hippocampal tissue prepared from aged rats (Blau et al. 2012; Enciu et al. 2013).
The CNS also undergo pronounced structural and functional alteration during normal aging, even in clinically healthy middle-age individuals, i.e., 40–50 years old. In particular, brain weight decreases in the order of 2–3 % per decade after the age of 50 and accelerates in later years to reach 10 % at the age of 80 (Drachman 2006). Using magnetic resonance imaging (MRI) and voxel-based morphometry (VBM), it has been shown that the gray matter volume of prefrontal, parietal, and temporal cortices of the human brain progressively decreases during aging (Courchesne et al. 2000; Ge et al. 2002; Good et al. 2001; Jernigan et al. 2001; Salat et al. 2004; Sowell et al. 2003). The temporal cortex is more affected in the left hemisphere than in the right hemisphere, in agreement with an age-related decline in language functions (Sowell et al. 2003). White matter volume also decreases with age; the process begins later but progresses at a more accelerated rate than in the gray matter (Courchesne et al. 2000; Ge et al. 2002; Jernigan et al. 2001).
Some of these changes are undoubtedly related to cell autonomous alterations in the aging neurons (Jurk et al. 2012) and astrocytes (Sheng et al. 2013), but aging microglia may further contribute to the aging pathology, notably by their production of reactive oxygen species (ROS) and pro-inflammatory cytokines, which could together increase neuronal vulnerability to oxidative stress. An accepted view is that neuroinflammation and oxidative stress collectively induce neuronal dysfunction and degeneration, thus resulting in the decline of motor and cognitive functions during aging (Forster et al. 1996; Navarro et al. 2002). In addition, compromised microglial properties have been proposed to cause impaired reaction to neuronal abnormalities during aging (Streit 2006; Aguzzi et al. 2013; Kettenmann et al. 2013; Conde and Streit 2006b; Siskova and Tremblay 2013). In this chapter, we will discuss the cellular and molecular changes observed in senescent microglia, and their implication for our understanding of the normal aging process, related cognitive dysfunction, and brain diseases.
2 Changes in Microglial Morphology, Dynamics, Phagocytosis, and Proliferation During Aging
Several authors have shown that microglial cells display various changes in morphology and functional behavior over the course of normal aging. Morphological characteristics associated with normal aging include fewer and shorter ramifications, excessive beading, and formation of spheroid swellings (Conde and Streit 2006b; Flanary 2005; Streit 2006; Streit et al. 2004). These changes are commonly referred to as microglial cell “dystrophy” (Streit 2006; Streit et al. 2004). Moreover, it was shown that microglia often colocalize with neurodegenerating neurons in the aging brain and display additional deterioration such as higher incidence of clumping, irregular distribution, and accumulation of phagocytic debris (lysosomal lipopigments, cellular elements, vacuoles, and large vesicles), particularly observed in cortical areas, as well as in and near the white matter (Hart et al. 2012; Perry et al. 1993; Tremblay et al. 2012; Hefendehl et al. 2013). Microglial accumulation of phagocytic debris might contribute to reducing their dynamism and impairing their phagocytic capacity as discussed below. However, no systematic quantification of microglial interactions with neurons has been performed to determine the extent of their changes during aging. Furthermore, no study has yet clearly determined the functional consequences of their abnormal morphology.
In terms of functional behavior, live imaging of microglial cells in retinal explants has demonstrated ex vivo that the dynamic responses of senescent microglia to injury also show age-dependent variations (Damani et al. 2011). In particular, young microglia were shown to rapidly increase their motility and number of ramifications when exposed to the nucleotide ATP, an injury-associated signal, or to a laser-induced focal tissue injury. In contrast, aged microglia were less dynamic and ramified, as compared to younger counterparts, and became even less dynamic and ramified in the presence of ATP, resulting in slower responses to a laser-induced injury. Moreover, their migration away from the site of injury was retarded in senescent versus young microglia (Damani et al. 2011). A recent characterization of the changes in microglial morphology and dynamic behavior in vivo using two photon imaging also showed similar age-related processes, such as a shortening of processes, increased soma volume, and loss of homogeneous tissue distribution and surveillance rate, in the cerebral cortex of aged mice. In addition, aged microglia examined in vivo also presented a diminished dynamic response to a laser-induced tissue injury, as in the retina, but their migration was however found to be accelerated (Hefendehl et al. 2013). Together, these findings suggest that the microglial capacity to detect and respond to pathological signs might be compromised in the aging brain, probably resulting both from altered microglial properties, especially their motility, and from the altered brain microenvironment.
This altered motility of microglia also seems to be closely related to additional alterations in their phagocytic capacity. As the brain professional phagocytes, microglia have the capacity to engulf apoptotic cells, myelin and axonal debris, deposits of extracellular proteins including beta amyloid (Aβ), and neurites (reviewed in Sierra et al. 2013). During aging, microglial cells over-express ED1, the rodent equivalent of CD68, a lysosomal protein upregulated during inflammation, which has been associated with phagocytosis (Perry et al. 1993). However, the function of ED1 is unknown since reducing ED1 expression with anti-ED1 monoclonal antibodies in cultured macrophages did not impair phagocytosis (reviewed in Sierra et al. 2013). Acutely isolated microglial cells from aged mice also show a decreased ability to phagocytose Aβ, contrarily to microglia derived from young mice (Floden and Combs 2011). In vitro, the phagocytosis of Aβ was also comparable between microglia derived from young and old mice, but only enhanced by a bacterial lipopolysaccharide (LPS) challenge in microglia from young mice (Tichauer et al. 2014). In addition, once internalized, the proteolytic degradation of Aβ was shown to be impaired in aged mice, due to deficits in lysosome acidification, as required for proper functioning of the lysosome degradation enzymes (Majumdar et al. 2007). Nevertheless, microglial phagocytosis of newborn apoptotic cells in the adult hippocampus neurogenic niche remained functional at least until 12 months of age (Sierra et al. 2010) (see Chap. 10 for further reading), although no systematic observations were carried out in older ages. Thus, the extent to which microglial phagocytosis is impaired during aging remains to be fully determined. A related process, protein homeostasis or proteostasis, which involves chaperone-mediated protein folding and stability, protein trafficking, protein degradation, and autophagy pathways, is also impaired in aged microglia in vitro, possibly explaining the microglial accumulation of phagocytic debris observed at the ultrastructural level (Tremblay et al. 2012). A major consequence of this declining proteostasis is the aggregation of abnormal proteins, which has been linked to the pathogenesis of neurodegenerative diseases such as Parkinson’s disease (PD) and Alzheimer’s disease (AD) (Taylor and Dillin 2011).
The proliferative capacity of microglia could also become altered during aging. Microglial cells exhibit an increased density in the facial nucleus upon nerve injury in aged versus young rats, and a similar finding was observed in mouse cerebral cortex during age-related impairment of audition and vision, possibly suggesting a less regulated proliferative response (Conde and Streit 2006a; Tremblay et al. 2012). However, microglial replication is generally considered as being reduced during aging, and there is no significant evidence for an overall increase in microglial density in the aging postmortem human brain (VanGuilder et al. 2011). It has been speculated that a reduced microglial replication could induce the depletion of healthy microglia in the aged brain, shifting the balance towards a more senescent and dysfunctional population (Mosher and Wyss-Coray 2014). Clumped microglia have been observed in the aged cerebral cortex, but their possible colocalization with markers of proliferation was not examined, and alternative interpretations were also proposed, such as a breakdown of the mechanisms which regulate their territorial organization (Tremblay et al. 2012). Additionally, interpreting the increased microglial density observed in some studies is limited by the impossibility to distinguish microglia from monocytes/macrophages derived from the periphery using CX3CR1, ionized calcium-binding adapter molecule 1, and other commonly used immunocytochemical markers. Thus, it remains unclear whether there are regional or species-specific changes in microglial density in the aging brain, and if so, whether they result from the proliferation of resident microglial cells, or the infiltration of peripheral inflammatory cells.
Together, these observations suggest the appearance of dysfunctional microglial phenotypes in the aging brain, which combined with the immunophenotypic changes described below, might contribute to the age-associated neuronal dysfunction and cognitive decline.
3 “Priming” of Microglia During Aging
During normal aging, a decreased secretion of the anti-inflammatory cytokine interleukin (IL)-10 has been observed (Ye and Johnson 2001), found to be accompanied by increased levels of pro-inflammatory cytokines, such as tumor necrosis factor α (TNFα) and IL-1β in the CNS (Lukiw 2004; Streit et al. 2004), and IL-6 in plasma (Godbout and Johnson 2004; Ye and Johnson 1999, 2001), using gene expression profiling, flow cytometry, and ELISA in mice and human. Aged microglia studied in situ (Sheng et al. 1998) and isolated ex vivo (Njie et al. 2012; Sierra et al. 2007) also showed increased expression of several pro-inflammatory mediators, but reports regarding the levels of anti-inflammatory cytokines, such as IL-10, are less uniform (Sierra et al. 2007; Ye and Johnson 2001). Furthermore, microglia display a significant upregulation of several Toll-like receptors (TLRs), such as TLR1, TLR2, TLR4, TLR5, and TLR7, as well as an increased expression of the TLR4 co-receptor, CD14, during aging (Letiembre et al. 2007). An age-related alteration in the signal transduction of TLR4 and conspicuous changes in the expression profile of scavenger receptors (SRs) have also been reported (Hickman et al. 2008; Yamamoto et al. 2002). TLRs, CD14, and SRs are pattern recognition receptors (PRRs) that participate in host defense response and phagocytosis of pathogen-associated molecules pattern (PAMPs), as well as damage-associated molecules pattern (DAMPs), which are crucial for the innate immune response. Signaling through these receptors is accompanied by microglial cell activation, including their production of pro-inflammatory mediators, and uptake of pathogens and macromolecules, such as the neurotoxic peptide Aβ. Therefore, changes in the expression profile of these receptors might account for the alterations observed in microglial inflammatory profile during normal aging.
Additionally, increased mRNA levels of transforming growth factor β isoform 1 (TGFβ1) have been measured in microglia from aged mice and rats (Bye et al. 2001; Sierra et al. 2007). TGFβ1 is a potent regulator of cytotoxicity and inflammatory response in the CNS. Its downstream signaling involves members of the Smad family, i.e., intracellular proteins that transduce extracellular signals from TGFβ ligands to the nucleus, thus acting as transcription factors. These proteins are homologs of the Drosophila mothers against decapentaplegic (MAD) protein and Caenorhabditis elegans SMA protein, named after the gene Sma for small body size, acting as mitogen-activated protein kinases (MAPKs), although their activation is highly variable and dependent on the cell type (Schmierer and Hill 2007). TGFβ1 modulates the activation of microglial cells induced by a LPS challenge, by decreasing their production of pro-inflammatory molecules, with the consequence of protecting cultured neurons from neurotoxicity and oxidative stress (Herrera-Molina and von Bernhardi 2005; Hu et al. 1995; Lieb et al. 2003). It has also been demonstrated in culture that this influence of TGFβ1 on microglial activation is regulated in a Smad3-dependent manner (Le et al. 2004; Werner et al. 2000). The TGFβ1 and Smad3 pathways were further linked to the reduction of radical species production induced by inflammatory stimuli and to the induction of Aβ phagocytosis in vitro (Tichauer and von Bernhardi 2012). Additionally, it has recently been shown that the induction of the Smad3 pathway is decreased in normal aging under inflammatory conditions (Tichauer et al. 2014), which could explain, at least partially, that microglial activation is overall increased in the aging brain, even though microglial expression of TGFβ1 is concomitantly increased ex vivo (Sierra et al. 2007).
The over-production of pro-inflammatory cytokines is associated with a repertoire of symptoms commonly known as sickness behavior, an adaptive response that occurs following exposure to infectious microorganisms, and that is exacerbated during aging (Hart 1988). Upon systemic inflammatory stimulation, aged microglia display an exacerbated inflammatory phenotype, compared with young ones, possibly resulting in enhanced sickness behavior (Combrinck et al. 2002; Cunningham et al. 2005; Godbout et al. 2005; Sierra et al. 2007). In particular, systemic inflammation resulted in an exacerbated production of the pro-inflammatory cytokines IL1-β, IL-6, TNFα ex vivo in aged versus young microglia (Sierra et al. 2007). This exacerbated response to inflammatory challenges is also referred to as microglial “priming,” a concept first introduced by Perry and colleagues (Perry 2004; Perry et al. 1993). By definition, primed microglia undergo a phenotypic shift towards a more sensitized state, in which they respond more rapidly and to a greater extent to a secondary “triggering” stimulus than non-primed microglia (Perry 2004; Perry et al. 2003, 2007; Harry 2013). An important question is to what extent aging microglial cells do become intrinsically dysfunctional, versus simply react to the changes in their local aging brain environment. Importantly, aging microglial properties were replicated in a mouse model where only neurons are made senescent. In these mice considered as a model of accelerated senescence, deleting the expression of a nucleotide repair protein (Ercc1) exclusively in forebrain neurons results in decreased neuronal plasticity, progressive neuronal pathology, and learning impairment (Borgesius et al. 2011). Importantly, in spite of not carrying the mutation, microglia also displayed hallmark features of “priming” such as an exaggerated response to peripheral LPS exposure in terms of pro-inflammatory cytokines expression, ROS production, and phagocytosis (Raj et al. 2014). Therefore, the exacerbated response of “primed” microglia to inflammatory stimuli could result, at least partially, from an accumulation of neuronal genotoxic stress, in addition to changes in the expression of TLRs (Letiembre et al. 2007) and other alterations including shortening of telomeres (Flanary and Streit 2004; Flanary et al. 2007). In turn, the exaggerated inflammatory response of microglia could further enhance the neuronal dysfunction and sickness behavior associated with normal aging.
4 Aged Microglia and Their Relationship with Neurodegeneration
While it remains unclear whether microglial “priming” could directly result from microglial senescence, aging microglial cells have been linked to several age-related neurodegenerative diseases, including PD, amyotrophic lateral sclerosis (ALS), and AD (von Bernhardi 2007) (for further reading, refer to Chap. 18). Microglial “priming” could not only result in an increased inflammatory response and cytotoxicity, but also in the impairment of microglial neuroprotective functions (see Chap. 5 for further reading). Indeed, aged microglia appear to actively participate to the neuronal damage observed in neurodegenerative diseases, especially through their production of ROS (Block et al. 2007). Thus, inflammation, possibly related to the activity of microglia, has been suggested to contribute to the death of dopaminergic neurons in PD, forebrain neurons in AD, and motor neurons in ALS (Boillee et al. 2006; Mount et al. 2007). In particular, it has been shown that TNFα promotes PD progression (McCoy et al. 2006), whereas the absence of TNF receptor 1 protects against AD- and PD-like disease in mice (He et al. 2007; Sriram et al. 2002). Moreover, administration of the anti-inflammatory derivative of thalidomide, lenalidomide, which was accompanied by a reduced expression of TNFα and IL-1β, was shown to improve motor behavior even after the onset of symptoms and to extend the survival in mouse models of ALS (Neymotin et al. 2009). Nonetheless, microglia are not likely the sole producers of TNFα and IL-1β in these diseases, and more specific experimental approaches are necessary to dissect out the effects of other inflammatory cells, including infiltrating macrophages, at different stages of their time course.
Altered responses of the aging microglia have also been linked to AD. In rhesus monkeys, a microinjection of fibrillar Aβ in the cortex was found to trigger neuronal loss, tau phosphorylation, and microglial cell proliferation in aged but not young adult monkeys. This in vivo observation suggests that Aβ neurotoxicity is a pathological response specific to the aging brain (Geula et al. 1998). Moreover, aged microglia are less capable of phagocytosing (Floden and Combs 2011) and degrading Aβ (Majumdar et al. 2007) than young microglia, as discussed above. Microglial cell reactivity to Aβ and phagocytic activity is further modulated by astrocytes, at least in vitro, whose presence attenuates the cytotoxic response of cultured microglia (DeWitt et al. 1998; von Bernhardi and Ramirez 2001). However, this modulation was not observed in “primed” microglia exposed to Aβ (von Bernhardi and Eugenin 2004), which showed increased cytotoxicity, Aβ precursor protein (APP) synthesis, Aβ aggregation, and impaired uptake and degradation of Aβ as compared with non-activated microglia (Rogers et al. 2002; Ramirez et al. 2008; von Bernhardi et al. 2007). TGFβ1 secreted by hippocampal neurons and astrocytes has been identified as an important modulatory cytokine of microglial activation, attenuating the release of pro-inflammatory mediators (Chen et al. 2002; Herrera-Molina and von Bernhardi 2005; Mittaud et al. 2002; Herrera-Molina et al. 2012) and promoting microglia-mediated Aβ phagocytosis and degradation (Wyss-Coray et al. 2001). It has been recently shown that these effects are mediated by Smad3-dependent mechanisms as described above (Flores and von Bernhardi 2012; Tichauer and von Bernhardi 2012). Interestingly, this signaling pathway is impaired in the brains of AD patients and mouse models, resulting in Aβ accumulation, Aβ-induced neurodegeneration, and neurofibrillary tangle formation (Tesseur et al. 2006; Ueberham et al. 2006), even though TGFβ1 levels are elevated in the cerebrospinal fluid of these patients (Blobe et al. 2000). Therefore, the Smad3 pathway could be considered as a target for therapeutic approaches against AD.
5 Increased Mitochondrial DNA Damage and Resultant Over-production of Reactive Oxygen Species and Inflammatory Cytokines by Microglia During Aging
In the aging brain, microglia constitute a primary cellular source of inflammatory molecules and oxidative products (Hayashi et al. 2008; Pawate et al. 2004; Qin et al. 2005). In the hippocampus of aged mice, immunoreactivity for 8-oxo-deoxyguanosine (8-oxo-dG), a major DNA peroxidation product, has been mainly observed in microglial cells, and partially in neurons, but not in astrocytes (Hayashi et al. 2008). Furthermore, this immunoreactivity for 8-oxo-dG mainly colocalized with the cytochrome b, a marker of mitochondria, thus suggesting that microglia could accumulate oxidative damage to their mitochondrial DNA (mtDNA) over the course of aging. Mitochondrial DNA (mtDNA) serves to encode components of the mitochondria electron transfer complexes and is highly susceptible to oxidative damage due to its close proximity to ROS generated through the respiratory chain, and its paucity of protective histones and DNA-binding proteins. Accumulation of mtDNA damages during aging results in a reduced expression of the mitochondria electron transfer complexes, especially the complexes I and IV, which contain a relatively large number of mtDNA-encoded subunits. Reduced activity of the complex I further increases the generation of ROS (Corral-Debrinski et al. 1992; Lin et al. 2002), thus forming a vicious cycle in the mitochondria (Kang et al. 2007) (Fig. 13.1).
In parallel, several changes induced by the aging environment, such as an increase in systemic inflammation and BBB permeability, as well as dysfunction, oxidative stress and degeneration of the other resident cells including neurons and astrocytes (Fig. 13.2), could further contribute to the production and release of ROS. In aged animals, several studies have proposed that BBB permeability could increase (Blau et al. 2012; Enciu et al. 2013), and therefore, a possible production of ROS by peripheral immune cells in the aged brain must be considered. Lastly, neuronal cells could be implicated as well, since DNA damage to cortical, hippocampal, and peripheral neurons (from the myenteric plexus) has been found to induce their production of ROS and release of the pro-inflammatory cytokine IL-6 (Jurk et al. 2012). A similar role of human astrocytes was also recently suggested from in vitro observations (Sheng et al. 2013).
The over-production of ROS, through a vicious cycle in the aging mitochondria, might also activate redox-sensitive transcription factor NFκB, implicated in the regulation of immunity, inflammation, and cell death (Adler et al. 2007, 2008), thereby provoking excessive inflammation in the aged brain (Hayashi et al. 2008; Nakanishi and Wu 2009) (Fig. 13.1). Increased NFκB signaling during aging further potentiates the expression of NLRP3, a member of the NLR family of cytosolic pattern recognition receptors that control the activity of caspase-1 by forming multiprotein complexes which are termed inflammasomes. After being activated, the pyrin domain containing-3 protein (NLRP3) recruits the adaptor protein ASC, which in turn binds to pro-caspase-1, leading to its autocatalytic processing and activation. Active caspase-1 cleaves the inactive precursors of two inflammatory cytokines, IL-1β and IL-18, into their mature forms (Tschopp and Schroder 2010). NLPR3 has been proposed to be activated by several danger signals, including PAMPs and DAMPs, via three different models: the “ROS model,” the “lysosomal rupture model,” and the “channel model” (Tschopp and Schroder 2010). In the “channel model,” NLRP3 is activated by extracellular ATP released from damaged cells, which binds to the nucleotide receptor P2X7, and triggers a rapid efflux of K+ and the formation of a pore in the cell membrane, leading to the entry of extracellular factors acting as NLRP3 ligands (including PAMPs and DAMPs). Herein, we will focus on the other two models, which have been associated with the altered function of microglia during aging.
According to the “ROS model” proposed by Tschopp’s group, particulate activators of the NLRP3 inflammasome, including asbestos fibers and silica crystals, trigger the generation of short-lived ROS, whereas treatment with various ROS scavengers blocks NLRP3 activation in response to these particulate activators. Monosodium urate crystal and asbestos fiber, which are major causative factors of gout and asbestosis, respectively, activate the NLRP3 inflammasomes in a ROS-dependent manner (Dostert et al. 2008). Recent studies have demonstrated that autophagic uptake capacity can regulate mitochondrial integrity, ROS production, and subsequent NLRP3 activation (Nakahira et al. 2011; Salminen et al. 2012; Zhou et al. 2011). Furthermore, NLRP3 activation is negatively regulated by autophagy, which plays an important role in clearing the damaged ROS-hypergenerating mitochondria. During aging, the efficiency of autophagic uptake declines and waste materials accumulate within cells (Salminen et al. 2012). Furthermore, the inhibition of autophagy triggers the accumulation of damaged ROS-hypergenerating mitochondria, which augments the activation of the NLRP3 inflammasomes in human macrophages (Zhou et al. 2011). As discussed above, a dysfunction of autophagy has been reported in microglia during aging (reviewed in Wong 2013). Therefore, in addition to the activation of redox-sensitive NFκB, it is also hypothesized that the dominance of ROS-hypergenerating mitochondria, due to the dysfunction of autophagy, could contribute to activating the NLRP3 inflammasome in microglia during aging, leading to excessive production of IL-1β and IL-18 in the aged brain (Fig. 13.1).
On the other hand, according to the “lysosomal rupture model” proposed by Latz’s group, the uptake of fibrillar Aβ42 or silica crystals by LPS-primed microglia/macrophages causes phagosomal destabilization and lysosomal rupture. The subsequent secretion of cathepsin B (CatB), a typical lysosomal cysteine protease, into the cytoplasm triggers the activation of the NLRP3 inflammasome directly or indirectly, leading to the production and secretion of IL-1β and IL-18 (Halle et al. 2008; Hornung et al. 2008). More recently, CatB was found to directly interact with the leucine-rich-repeat (LRR) domain of NLRP3 (Bruchard et al. 2013). This model is supported by the observation that a specific inhibitor of CatB, CA074Me, significantly inhibits IL-1β secretion from LPS-primed microglia and macrophages following the phagocytosis of fibrillar Aβ and silica crystals, respectively, (Halle et al. 2008; Hornung et al. 2008). Following the phagocytosis of fibrillar Aβ, the secretion of IL-1β from CatB-deficient macrophages is significantly reduced compared with wild-type macrophages (Hornung et al. 2008). Furthermore, NLRP3-deficient mice carrying mutations associated with familial AD demonstrate improvement in spatial memory, a reduced expression of caspase-1 and IL-1β in the brain, and enhanced Aβ clearance (Heneka et al. 2013). Besides fibrillar Aβ and silica crystals, cholesterol crystals and islet amyloid peptide, which are major causative factors of age-related diseases such as atherosclerosis and type 2 diabetes, respectively, also activate the NLRP3 inflammasome in a CatB-dependent manner (Duewell et al. 2010; Masters et al. 2010). More direct evidence on the importance of the “lysosomal rupture model” will require identification of the putative CatB substrates that activate the NLRP3 inflammasome. Phagocytosed particles that are too large to be efficiently cleared are likely to induce the production of ROS on their way to lysosomes. Therefore, the “lysosomal rupture model” could be viewed as part of a more general “ROS model.” It is likely that the activation of the NLRP3 inflammasome is more complex, requiring a combination of factors, including enzymatic activity of CatB and ROS activity.
6 Preventing or Reversing Microglia Aging by Inhibition of Cathepsin B
In addition to mediating the maturation of pro-caspase-1 through activation of the NLRP3 inflammasome, CatB also directly contributes to the proteolytic maturation of pro-caspase-1. CatB can efficiently cleave pro-caspase-11 in a cell-free system at a neutral pH, but only cleaves pro-caspase-1 at an acidic pH (Vancompernolle et al. 1998). Further cleavage is necessary for the full maturation of pro-caspase-1 after its proteolytic cleavage by CatB, because the fragments generated by CatB cleavage are still larger than the mature caspase-1 (Hentze et al. 2003). This suggests that CatB is involved in the activation of pro-caspase-1 through its direct activation of pro-caspase-11, which in turn activates pro-caspase-1 (Kang et al. 2000). CatB deficiency and selective pharmacological inhibition with CA074Me prevent the activation of precursor forms of IL-1β and IL-18 in microglial cell cultures following treatment with chromogranin A (CGA), a potent activator of microglia, through inhibition of proteolytic maturation of pro-caspase-1 (Terada et al. 2010). CGA does not induce leakage of CatB in microglia (Sun et al. 2012; Wu et al. 2013), but it is known to activate microglia through scavenger receptors class-A (SRA) (Hooper et al. 2009). CatB-containing enlarged lysosomes are considered to be phagolysosomes formed by the fusion of SRA-mediated phagosomes and primary lysosomes (Sun et al. 2012; Wu et al. 2013). Therefore, pro-caspase-1 and the inactive forms of IL-1β and IL-18 in the cytoplasm may be trapped in phagosomes, which are fused with CatB-containing primary lysosomes to form phagolysosomes and thus degraded rather than being released extracellularly. It is also noted that CatB is increased in the brain during aging (Nakanishi 2003). Therefore, a pharmacological inhibition of CatB could be a potent strategy for slowing brain aging through inhibition of the pro-caspase-1 activation in microglia, and resultant reduction of neuroinflammation (Fig. 13.1).
7 Preventing or Reversing Microglia Aging by Elevation of Mitochondrial Transcription Factor-A
Mitochondrial transcription factor-A (TFAM) is a nucleus-encoded protein that binds upstream of the light-strand and heat-strand promoters of mtDNA and induces the transcription of mtDNA (Parisi and Clayton 1991). Therefore, the level of TFAM is a major determinant of the amount of mtDNA (Kanki et al. 2004; Seidel-Rogol and Shadel 2002). In addition to maintaining mtDNA by acting as a transcription factor, TFAM stabilizes mtDNA by forming a nucleoid structure (Kanki et al. 2004). The amounts of both TFAM and mtDNA are significantly increased during aging in the brain and peripheral organs including the liver of rodents (Dinardo et al. 2003; Masuyama et al. 2005). There is growing evidence that mtDNA deficiency and mitochondrial dysfunction play a major role in the development and progression of cardiac failure (Ikeuchi et al. 2005), but whether these changes occur in aging microglia is not known. The over-expression of human TFAM has been shown to prevent the decrease in mtDNA copy number and mitochondrial electron transfer function in a partial myocardial infarction model of a mouse (Ikeuchi et al. 2005). The increased mtDNA copy number observed in hTFAM-transgenic mice could be due to nucleoid formation or the stabilization of mtDNA by hTFAM, because hTFAM is not expected to function as a transcription factor in murine cells (Kang et al. 2007). Therefore, oxidative stress may cause deficiencies of mtDNA, leading to cardiac failure through mitochondrial dysfunction and resultant over-production of ROS.
The increased expression level of hTFAM in HeLa cells effectively reduces ROS generation induced by rotenone, an inhibitor of mitochondrial complex I, and the subsequent nuclear translocation of NFκB, probably through stabilization of mtDNA, which could reduce mitochondrial dysfunction and resultant ROS generation (Corral-Debrinski et al. 1992). Furthermore, hTFAM-transgenic mice exhibit a significant improvement of age-dependent motor and memory impairments, associated with a marked reduction of mtDNA damage and IL-1β production in microglia (Hayashi et al. 2008; Nakanishi and Wu 2009). In addition to the motor and memory functions, sickness behaviors induced by LPS are also affected by aging (Huang et al. 2008), as discussed above. Increasing evidence suggest that LPS-induced NFκB activation through TLR4-CD14 complex is dependent on the production of ROS (Baeuerle and Henkel 1994; Janssen-Heininger et al. 2000), and a broad range of antioxidants abolish NFκB activation (Blackwell et al. 1996; Zhang et al. 1994). These observations prompted further investigation of the effect of human TFAM over-expression on the age-dependent prolongation of LPS-induced sickness behaviors. In particular, human TFAM-transgenic mice were found to exhibit a significant improvement of age-dependent prolonged sickness behaviors following treatment with LPS, which is closely correlated with attenuation of mtDNA damages and IL-1β expression in microglia (Nakanishi et al. 2011) (Fig. 13.1). Therefore, over-expression of hTFAM could improve the age-dependent memory impairment and prolonged LPS-induced sickness behaviors by ameliorating the mtDNA damage and the resulting redox-regulated inflammatory response.
In the aging brain, there is an impairment of electron transfer in some mitochondrial complex, shifting the intracellular redox balance towards a more oxidized state (Navarro et al. 2002). Aged dysfunctional mitochondria may not respond to sudden increases in ATP demands, which has been speculated to lead to impaired performance in behavioral tests (Navarro et al. 2002). Whether this impairment also occurs in aged microglia is not known, but it is likely that alterations in mitochondrial function result in a decreased microglial motility and phagocytosis, as they are energy-requiring events (Fig. 13.2). However, this hypothesis needs to be experimentally determined. Microglia with highly branched fine processes are now being considered as active players in the normal healthy brain (see Chaps. 3, 4 and 9 for further information). Therefore, the accumulation of damaged ROS-hypergenerating mitochondria in microglia might limit microglial cell defensive behaviors, including motility and phagocytosis, during aging.
8 Alternative Strategies for Preventing or Reversing Microglial Cell Aging
There is accumulating evidence that exercise and caloric restriction can play a role in reducing microglial activation and “priming” during aging. In aged animals, small amounts of exercise were found to prevent the infection-induced exaggerated neuroinflammatory response, which is associated with increased cytokine production and increased cognitive deficits (Barrientos et al. 2011). Moreover, voluntary exercise was found to abrogate the age-related “priming” of microglia (Barrientos et al. 2011; Kohman et al. 2013), suggesting that exercise might be an effective intervention to prevent or reverse microglial cell aging. These beneficial effects of exercise may, in part, result from its induction of brain-derived neurotrophic factor (BDNF), which is a potent regulator of synaptic development and plasticity (Barrientos et al. 2011). On the other hand, caloric restriction could also attenuate the age-related activation of microglia, resulting in beneficial effects on neurodegeneration and cognitive decline (Morgan et al. 2007). Caloric restriction has anti-inflammatory and anti-apoptotic properties (Loncarevic-Vasiljkovic et al. 2012). Interestingly, both exercise and caloric restriction were recently shown to promote mitochondrial biogenesis and expression of TFAM in the rat brain (Picca et al. 2012; Zhang et al. 2012). Collectively, both exercise and caloric restriction may effectively slow down the brain aging through preventing or reversing microglial aging. However, their exact underlying mechanisms remain unknown.
9 Conclusion
During normal aging, microglia undergo several morphological and functional changes, affecting their neuronal environment and facilitating the appearance of cognitive impairments. Among these changes, increased production of ROS and pro-inflammatory cytokines by microglia and other resident and infiltrating cells, including monocytes, could facilitate the onset of neurodegenerative diseases. Decline of both lysosomal function and mitochondrial DNA damage in these cells results in an exacerbated generation of ROS and pro-inflammatory mediators, which could represent the cellular basis of microglia aging. Therefore, molecules implicated in lysosomal and mitochondrial dysfunction, such as CatB and TFAM, may be considered as potential therapeutic targets. Further research would be necessary, however, to develop effective pharmacological interventions against brain aging. Within this perspective, pharmacological approaches aimed to rejuvenate old microglia in the elderly brain may constitute a promising future research avenue for slowing senescence. Furthermore, non-pharmacological strategies, like exercise and dietary restriction, could promote a healthy aging through their effects on promoting microglial surveillance and physiological functions, while reducing inflammation and ROS production.
References
Adler AS, Sinha S, Kawahara TL, Zhang JY, Segal E, Chang HY (2007) Motif module map reveals enforcement of aging by continual NF-kappaB activity. Genes Dev 21(24):3244–3257
Adler AS, Kawahara TL, Segal E, Chang HY (2008) Reversal of aging by NFkappaB blockade. Cell Cycle 7(5):556–559
Aguzzi A, Barres BA, Bennett ML (2013) Microglia: scapegoat, saboteur, or something else? Science 339(6116):156–161. doi:10.1126/science.1227901
Baeuerle PA, Henkel T (1994) Function and activation of NF-kappa B in the immune system. Annu Rev Immunol 12:141–179. doi:10.1146/annurev.iy.12.040194.001041
Barrientos RM, Frank MG, Crysdale NY, Chapman TR, Ahrendsen JT, Day HE, Campeau S, Watkins LR, Patterson SL, Maier SF (2011) Little exercise, big effects: reversing aging and infection-induced memory deficits, and underlying processes. J Neurosci 31(32):11578–11586. doi:10.1523/JNEUROSCI.2266-11.2011
Blackwell TS, Blackwell TR, Holden EP, Christman BW, Christman JW (1996) In vivo antioxidant treatment suppresses nuclear factor-kappa B activation and neutrophilic lung inflammation. J Immunol 157(4):1630–1637
Blau CW, Cowley TR, O’Sullivan J, Grehan B, Browne TC, Kelly L, Birch A, Murphy N, Kelly AM, Kerskens CM, Lynch MA (2012) The age-related deficit in LTP is associated with changes in perfusion and blood-brain barrier permeability. Neurobiol Aging 33(5):1005. doi:10.1016/j.neurobiolaging.2011.09.035, e23–35
Blobe GC, Schiemann WP, Lodish HF (2000) Role of transforming growth factor beta in human disease. N Engl J Med 342(18):1350–1358. doi:10.1056/NEJM200005043421807
Block ML, Zecca L, Hong JS (2007) Microglia-mediated neurotoxicity: uncovering the molecular mechanisms. Nat Rev Neurosci 8(1):57–69. doi:10.1038/nrn2038
Boillee S, Yamanaka K, Lobsiger CS, Copeland NG, Jenkins NA, Kassiotis G, Kollias G, Cleveland DW (2006) Onset and progression in inherited ALS determined by motor neurons and microglia. Science 312(5778):1389–1392. doi:10.1126/science.1123511
Borgesius NZ, de Waard MC, van der Pluijm I, Omrani A, Zondag GC, van der Horst GT, Melton DW, Hoeijmakers JH, Jaarsma D, Elgersma Y (2011) Accelerated age-related cognitive decline and neurodegeneration, caused by deficient DNA repair. J Neurosci 31(35):12543–12553. doi:10.1523/JNEUROSCI.1589-11.2011
Bruchard M, Mignot G, Derangere V, Chalmin F, Chevriaux A, Vegran F, Boireau W, Simon B, Ryffel B, Connat JL, Kanellopoulos J, Martin F, Rebe C, Apetoh L, Ghiringhelli F (2013) Chemotherapy-triggered cathepsin B release in myeloid-derived suppressor cells activates the Nlrp3 inflammasome and promotes tumor growth. Nat Med 19(1):57–64. doi:10.1038/nm.2999
Bye N, Zieba M, Wreford NG, Nichols NR (2001) Resistance of the dentate gyrus to induced apoptosis during ageing is associated with increases in transforming growth factor-beta1 messenger RNA. Neuroscience 105(4):853–862
Chen S, Luo D, Streit WJ, Harrison JK (2002) TGF-beta1 upregulates CX3CR1 expression and inhibits fractalkine-stimulated signaling in rat microglia. J Neuroimmunol 133(1–2):46–55
Combrinck MI, Perry VH, Cunningham C (2002) Peripheral infection evokes exaggerated sickness behaviour in pre-clinical murine prion disease. Neuroscience 112(1):7–11
Conde JR, Streit WJ (2006a) Effect of aging on the microglial response to peripheral nerve injury. Neurobiol Aging 27(10):1451–1461. doi:10.1016/j.neurobiolaging.2005.07.012
Conde JR, Streit WJ (2006b) Microglia in the aging brain. J Neuropathol Exp Neurol 65(3):199–203. doi:10.1097/01.jnen.0000202887.22082.6300005072-200603000-00001
Corral-Debrinski M, Horton T, Lott MT, Shoffner JM, Beal MF, Wallace DC (1992) Mitochondrial DNA deletions in human brain: regional variability and increase with advanced age. Nat Genet 2(4):324–329. doi:10.1038/ng1292-324
Courchesne E, Chisum HJ, Townsend J, Cowles A, Covington J, Egaas B, Harwood M, Hinds S, Press GA (2000) Normal brain development and aging: quantitative analysis at in vivo MR imaging in healthy volunteers. Radiology 216(3):672–682
Cunningham C, Wilcockson DC, Campion S, Lunnon K, Perry VH (2005) Central and systemic endotoxin challenges exacerbate the local inflammatory response and increase neuronal death during chronic neurodegeneration. J Neurosci 25(40):9275–9284. doi:10.1523/JNEUROSCI.2614-05.2005
Damani MR, Zhao L, Fontainhas AM, Amaral J, Fariss RN, Wong WT (2011) Age-related alterations in the dynamic behavior of microglia. Aging Cell 10(2):263–276. doi:10.1111/j.1474-9726.2010.00660.x
DeWitt DA, Perry G, Cohen M, Doller C, Silver J (1998) Astrocytes regulate microglial phagocytosis of senile plaque cores of Alzheimer’s disease. Exp Neurol 149(2):329–340. doi:10.1006/exnr.1997.6738
Dinardo MM, Musicco C, Fracasso F, Milella F, Gadaleta MN, Gadaleta G, Cantatore P (2003) Acetylation and level of mitochondrial transcription factor A in several organs of young and old rats. Biochem Biophys Res Commun 301(1):187–191
Dostert C, Petrilli V, Van Bruggen R, Steele C, Mossman BT, Tschopp J (2008) Innate immune activation through Nalp3 inflammasome sensing of asbestos and silica. Science 320(5876):674–677. doi:10.1126/science.1156995
Drachman DA (2006) Aging of the brain, entropy, and Alzheimer disease. Neurology 67(8):1340–1352. doi:10.1212/01.wnl.0000240127.89601.83
Droge W, Schipper HM (2007) Oxidative stress and aberrant signaling in aging and cognitive decline. Aging Cell 6(3):361–370. doi:10.1111/j.1474-9726.2007.00294.x
Duewell P, Kono H, Rayner KJ, Sirois CM, Vladimer G, Bauernfeind FG, Abela GS, Franchi L, Nunez G, Schnurr M, Espevik T, Lien E, Fitzgerald KA, Rock KL, Moore KJ, Wright SD, Hornung V, Latz E (2010) NLRP3 inflammasomes are required for atherogenesis and activated by cholesterol crystals. Nature 464(7293):1357–1361. doi:10.1038/nature08938
Enciu AM, Gherghiceanu M, Popescu BO (2013) Triggers and effectors of oxidative stress at blood-brain barrier level: relevance for brain ageing and neurodegeneration. Oxid Med Cell Longev 2013:297512. doi:10.1155/2013/297512
Fadel PJ, Barman SM, Phillips SW, Gebber GL (2004) Fractal fluctuations in human respiration. J Appl Physiol 97(6):2056–2064. doi:10.1152/japplphysiol.00657.2004
Flanary B (2005) The role of microglial cellular senescence in the aging and Alzheimer diseased brain. Rejuvenation Res 8(2):82–85. doi:10.1089/rej.2005.8.82
Flanary BE, Streit WJ (2004) Progressive telomere shortening occurs in cultured rat microglia, but not astrocytes. Glia 45(1):75–88. doi:10.1002/glia.10301
Flanary BE, Sammons NW, Nguyen C, Walker D, Streit WJ (2007) Evidence that aging and amyloid promote microglial cell senescence. Rejuvenation Res 10(1):61–74. doi:10.1089/rej.2006.9096
Floden AM, Combs CK (2011) Microglia demonstrate age-dependent interaction with amyloid-beta fibrils. J Alzheimers Dis 25(2):279–293. doi:10.3233/JAD-2011-101014
Flores B, von Bernhardi R (2012) Transforming growth factor beta1 modulates amyloid beta-induced glial activation through the Smad3-dependent induction of MAPK phosphatase-1. J Alzheimers Dis 32(2):417–429. doi:10.3233/JAD-2012-120721
Forster MJ, Dubey A, Dawson KM, Stutts WA, Lal H, Sohal RS (1996) Age-related losses of cognitive function and motor skills in mice are associated with oxidative protein damage in the brain. Proc Natl Acad Sci U S A 93(10):4765–4769
Ge Y, Grossman RI, Babb JS, Rabin ML, Mannon LJ, Kolson DL (2002) Age-related total gray matter and white matter changes in normal adult brain. Part I: volumetric MR imaging analysis. AJNR Am J Neuroradiol 23(8):1327–1333
Geula C, Wu CK, Saroff D, Lorenzo A, Yuan M, Yankner BA (1998) Aging renders the brain vulnerable to amyloid beta-protein neurotoxicity. Nat Med 4(7):827–831
Glenn CF, Chow DK, David L, Cooke CA, Gami MS, Iser WB, Hanselman KB, Goldberg IG, Wolkow CA (2004) Behavioral deficits during early stages of aging in Caenorhabditis elegans result from locomotory deficits possibly linked to muscle frailty. J Gerontol A Biol Sci Med Sci 59(12):1251–1260
Godbout JP, Johnson RW (2004) Interleukin-6 in the aging brain. J Neuroimmunol 147(1–2):141–144
Godbout JP, Chen J, Abraham J, Richwine AF, Berg BM, Kelley KW, Johnson RW (2005) Exaggerated neuroinflammation and sickness behavior in aged mice following activation of the peripheral innate immune system. FASEB J 19(10):1329–1331. doi:10.1096/fj.05-3776fje
Good CD, Johnsrude IS, Ashburner J, Henson RN, Friston KJ, Frackowiak RS (2001) A voxel-based morphometric study of ageing in 465 normal adult human brains. Neuroimage 14(1 Pt 1):21–36. doi:10.1006/nimg.2001.0786
Halle A, Hornung V, Petzold GC, Stewart CR, Monks BG, Reinheckel T, Fitzgerald KA, Latz E, Moore KJ, Golenbock DT (2008) The NALP3 inflammasome is involved in the innate immune response to amyloid-beta. Nat Immunol 9(8):857–865. doi:10.1038/ni.1636
Harry GJ (2013) Microglia during development and aging. Pharmacol Ther 139(3):313–326. doi:10.1016/j.pharmthera.2013.04.013
Hart BL (1988) Biological basis of the behavior of sick animals. Neurosci Biobehav Rev 12(2):123–137
Hart AD, Wyttenbach A, Perry VH, Teeling JL (2012) Age related changes in microglial phenotype vary between CNS regions: grey versus white matter differences. Brain Behav Immun 26(5):754–765. doi:10.1016/j.bbi.2011.11.006
Hayashi Y, Yoshida M, Yamato M, Ide T, Wu Z, Ochi-Shindou M, Kanki T, Kang D, Sunagawa K, Tsutsui H, Nakanishi H (2008) Reverse of age-dependent memory impairment and mitochondrial DNA damage in microglia by an overexpression of human mitochondrial transcription factor a in mice. J Neurosci 28(34):8624–8634. doi:10.1523/JNEUROSCI.1957-08.2008
He P, Zhong Z, Lindholm K, Berning L, Lee W, Lemere C, Staufenbiel M, Li R, Shen Y (2007) Deletion of tumor necrosis factor death receptor inhibits amyloid beta generation and prevents learning and memory deficits in Alzheimer’s mice. J Cell Biol 178(5):829–841. doi:10.1083/jcb.200705042
Hefendehl JK, Neher JJ, Suhs RB, Kohsaka S, Skodras A, Jucker M (2013) Homeostatic and injury-induced microglia behavior in the aging brain. Aging Cell 13(1):60–69. doi:10.1111/acel.12149
Heneka MT, Kummer MP, Stutz A, Delekate A, Schwartz S, Vieira-Saecker A, Griep A, Axt D, Remus A, Tzeng TC, Gelpi E, Halle A, Korte M, Latz E, Golenbock DT (2013) NLRP3 is activated in Alzheimer’s disease and contributes to pathology in APP/PS1 mice. Nature 493(7434):674–678. doi:10.1038/nature11729
Hentze H, Lin XY, Choi MS, Porter AG (2003) Critical role for cathepsin B in mediating caspase-1-dependent interleukin-18 maturation and caspase-1-independent necrosis triggered by the microbial toxin nigericin. Cell Death Differ 10(9):956–968. doi:10.1038/sj.cdd.44012644401264
Herrera-Molina R, von Bernhardi R (2005) Transforming growth factor-beta 1 produced by hippocampal cells modulates microglial reactivity in culture. Neurobiol Dis 19(1–2):229–236. doi:10.1016/j.nbd.2005.01.003
Herrera-Molina R, Flores B, Orellana JA, von Bernhardi R (2012) Modulation of interferon-gamma-induced glial cell activation by transforming growth factor beta1: a role for STAT1 and MAPK pathways. J Neurochem 123(1):113–123. doi:10.1111/j.1471-4159.2012.07887.x
Hickman SE, Allison EK, El Khoury J (2008) Microglial dysfunction and defective beta-amyloid clearance pathways in aging Alzheimer’s disease mice. J Neurosci 28(33):8354–8360. doi:10.1523/JNEUROSCI.0616-08.2008
Hooper C, Fry VA, Sevastou IG, Pocock JM (2009) Scavenger receptor control of chromogranin A-induced microglial stress and neurotoxic cascades. FEBS Lett 583(21):3461–3466. doi:10.1016/j.febslet.2009.09.049
Hornung V, Bauernfeind F, Halle A, Samstad EO, Kono H, Rock KL, Fitzgerald KA, Latz E (2008) Silica crystals and aluminum salts activate the NALP3 inflammasome through phagosomal destabilization. Nat Immunol 9(8):847–856. doi:10.1038/ni.1631
Hu S, Sheng WS, Peterson PK, Chao CC (1995) Cytokine modulation of murine microglial cell superoxide production. Glia 13(1):45–50. doi:10.1002/glia.440130106
Huang Y, Henry CJ, Dantzer R, Johnson RW, Godbout JP (2008) Exaggerated sickness behavior and brain proinflammatory cytokine expression in aged mice in response to intracerebroventricular lipopolysaccharide. Neurobiol Aging 29(11):1744–1753. doi:10.1016/j.neurobiolaging.2007.04.012
Ikeuchi M, Matsusaka H, Kang D, Matsushima S, Ide T, Kubota T, Fujiwara T, Hamasaki N, Takeshita A, Sunagawa K, Tsutsui H (2005) Overexpression of mitochondrial transcription factor a ameliorates mitochondrial deficiencies and cardiac failure after myocardial infarction. Circulation 112(5):683–690. doi:10.1161/CIRCULATIONAHA.104.524835
Janssen-Heininger YM, Poynter ME, Baeuerle PA (2000) Recent advances towards understanding redox mechanisms in the activation of nuclear factor kappaB. Free Radic Biol Med 28(9):1317–1327
Jernigan TL, Archibald SL, Fennema-Notestine C, Gamst AC, Stout JC, Bonner J, Hesselink JR (2001) Effects of age on tissues and regions of the cerebrum and cerebellum. Neurobiol Aging 22(4):581–594
Jurk D, Wang C, Miwa S, Maddick M, Korolchuk V, Tsolou A, Gonos ES, Thrasivoulou C, Saffrey MJ, Cameron K, von Zglinicki T (2012) Postmitotic neurons develop a p21-dependent senescence-like phenotype driven by a DNA damage response. Aging Cell 11(6):996–1004
Kang SJ, Wang S, Hara H, Peterson EP, Namura S, Amin-Hanjani S, Huang Z, Srinivasan A, Tomaselli KJ, Thornberry NA, Moskowitz MA, Yuan J (2000) Dual role of caspase-11 in mediating activation of caspase-1 and caspase-3 under pathological conditions. J Cell Biol 149(3):613–622
Kang D, Kim SH, Hamasaki N (2007) Mitochondrial transcription factor A (TFAM): roles in maintenance of mtDNA and cellular functions. Mitochondrion 7(1–2):39–44. doi:10.1016/j.mito.2006.11.017
Kanki T, Ohgaki K, Gaspari M, Gustafsson CM, Fukuoh A, Sasaki N, Hamasaki N, Kang D (2004) Architectural role of mitochondrial transcription factor A in maintenance of human mitochondrial DNA. Mol Cell Biol 24(22):9823–9834. doi:10.1128/MCB.24.22.9823-9834.2004
Kettenmann H, Kirchhoff F, Verkhratsky A (2013) Microglia: new roles for the synaptic stripper. Neuron 77(1):10–18. doi:10.1016/j.neuron.2012.12.023
Klein CS, Rice CL, Marsh GD (2001) Normalized force, activation, and coactivation in the arm muscles of young and old men. J Appl Physiol 91(3):1341–1349
Kohman RA, Bhattacharya TK, Wojcik E, Rhodes JS (2013) Exercise reduces activation of microglia isolated from hippocampus and brain of aged mice. J Neuroinflammation 10:114. doi:10.1186/1742-2094-10-114
Le Y, Iribarren P, Gong W, Cui Y, Zhang X, Wang JM (2004) TGF-beta1 disrupts endotoxin signaling in microglial cells through Smad3 and MAPK pathways. J Immunol 173(2):962–968
Letiembre M, Hao W, Liu Y, Walter S, Mihaljevic I, Rivest S, Hartmann T, Fassbender K (2007) Innate immune receptor expression in normal brain aging. Neuroscience 146(1):248–254. doi:10.1016/j.neuroscience.2007.01.004
Lieb K, Engels S, Fiebich BL (2003) Inhibition of LPS-induced iNOS and NO synthesis in primary rat microglial cells. Neurochem Int 42(2):131–137, S0197018602000761 [pii]
Lin MT, Simon DK, Ahn CH, Kim LM, Beal MF (2002) High aggregate burden of somatic mtDNA point mutations in aging and Alzheimer’s disease brain. Hum Mol Genet 11(2):133–145
Lindenberger U, Marsiske M, Baltes PB (2000) Memorizing while walking: increase in dual-task costs from young adulthood to old age. Psychol Aging 15(3):417–436
Lipsitz LA (2002) Dynamics of stability: the physiologic basis of functional health and frailty. J Gerontol A Biol Sci Med Sci 57(3):B115–B125
Lipsitz LA, Goldberger AL (1992) Loss of “complexity” and aging. Potential applications of fractals and chaos theory to senescence. JAMA 267(13):1806–1809
Loncarevic-Vasiljkovic N, Pesic V, Todorovic S, Popic J, Smiljanic K, Milanovic D, Ruzdijic S, Kanazir S (2012) Caloric restriction suppresses microglial activation and prevents neuroapoptosis following cortical injury in rats. PLoS One 7(5):e37215. doi:10.1371/journal.pone.0037215
Lopez-Otin C, Biasco MA, Partridge L, Serrano M, Kroemer G (2013) The hallmarks of aging. Cell 153(6):1194–1217
Lukiw WJ (2004) Gene expression profiling in fetal, aged, and Alzheimer hippocampus: a continuum of stress-related signaling. Neurochem Res 29(6):1287–1297
Majumdar A, Cruz D, Asamoah N, Buxbaum A, Sohar I, Lobel P, Maxfield FR (2007) Activation of microglia acidifies lysosomes and leads to degradation of Alzheimer amyloid fibrils. Mol Biol Cell 18(4):1490–1496
Marques F, Sousa JC, Sousa N, Palha JA (2013) Blood-brain-barriers in aging and in Alzheimer’s disease. Mol Neurodegener 8:38. doi:10.1186/1750-1326-8-38
Masters SL, Dunne A, Subramanian SL, Hull RL, Tannahill GM, Sharp FA, Becker C, Franchi L, Yoshihara E, Chen Z, Mullooly N, Mielke LA, Harris J, Coll RC, Mills KH, Mok KH, Newsholme P, Nunez G, Yodoi J, Kahn SE, Lavelle EC, O’Neill LA (2010) Activation of the NLRP3 inflammasome by islet amyloid polypeptide provides a mechanism for enhanced IL-1beta in type 2 diabetes. Nat Immunol 11(10):897–904. doi:10.1038/ni.1935
Masuyama M, Iida R, Takatsuka H, Yasuda T, Matsuki T (2005) Quantitative change in mitochondrial DNA content in various mouse tissues during aging. Biochim Biophys Acta 1723(1–3):302–308. doi:10.1016/j.bbagen.2005.03.001
McCoy MK, Martinez TN, Ruhn KA, Szymkowski DE, Smith CG, Botterman BR, Tansey KE, Tansey MG (2006) Blocking soluble tumor necrosis factor signaling with dominant-negative tumor necrosis factor inhibitor attenuates loss of dopaminergic neurons in models of Parkinson’s disease. J Neurosci 26(37):9365–9375. doi:10.1523/JNEUROSCI.1504-06.2006
Mittaud P, Labourdette G, Zingg H, Guenot-Di Scala D (2002) Neurons modulate oxytocin receptor expression in rat cultured astrocytes: involvement of TGF-beta and membrane components. Glia 37(2):169–177. doi:10.1002/glia.10029
Morgan TE, Wong AM, Finch CE (2007) Anti-inflammatory mechanisms of dietary restriction in slowing aging processes. Interdiscip Top Gerontol 35:83–97. doi:10.1159/000096557
Mosher KI, Wyss-Coray T (2014) Microglial dysfunction in brain aging and Alzheimer’s disease. Biochem Pharmacol 88(4):594–604. doi:10.1016/j.bcp.2014.01.008
Mount MP, Lira A, Grimes D, Smith PD, Faucher S, Slack R, Anisman H, Hayley S, Park DS (2007) Involvement of interferon-gamma in microglial-mediated loss of dopaminergic neurons. J Neurosci 27(12):3328–3337. doi:10.1523/JNEUROSCI.5321-06.2007
Nakahira K, Haspel JA, Rathinam VA, Lee SJ, Dolinay T, Lam HC, Englert JA, Rabinovitch M, Cernadas M, Kim HP, Fitzgerald KA, Ryter SW, Choi AM (2011) Autophagy proteins regulate innate immune responses by inhibiting the release of mitochondrial DNA mediated by the NALP3 inflammasome. Nat Immunol 12(3):222–230. doi:10.1038/ni.1980
Nakanishi H (2003) Neuronal and microglial cathepsins in aging and age-related diseases. Ageing Res Rev 2(4):367–381
Nakanishi H, Wu Z (2009) Microglia-aging: roles of microglial lysosome- and mitochondria-derived reactive oxygen species in brain aging. Behav Brain Res 201(1):1–7. doi:10.1016/j.bbr.2009.02.001
Nakanishi H, Hayashi Y, Wu Z (2011) The role of microglial mtDNA damage in age-dependent prolonged LPS-induced sickness behavior. Neuron Glia Biol 7(1):17–23. doi:10.1017/S1740925X1100010X
Navarro A, Sanchez Del Pino MJ, Gomez C, Peralta JL, Boveris A (2002) Behavioral dysfunction, brain oxidative stress, and impaired mitochondrial electron transfer in aging mice. Am J Physiol Regul Integr Comp Physiol 282(4):R985–R992. doi:10.1152/ajpregu.00537.2001
Neymotin A, Petri S, Calingasan NY, Wille E, Schafer P, Stewart C, Hensley K, Beal MF, Kiaei M (2009) Lenalidomide (Revlimid) administration at symptom onset is neuroprotective in a mouse model of amyotrophic lateral sclerosis. Exp Neurol 220(1):191–197. doi:10.1016/j.expneurol.2009.08.028
Njie EG, Boelen E, Stassen FR, Steinbusch HW, Borchelt DR, Streit WJ (2012) Ex vivo cultures of microglia from young and aged rodent brain reveal age-related changes in microglial function. Neurobiol Aging 33(1):195. doi:10.1016/j.neurobiolaging.2010.05.008, e191-112
Parisi MA, Clayton DA (1991) Similarity of human mitochondrial transcription factor 1 to high mobility group proteins. Science 252(5008):965–969
Pawate S, Shen Q, Fan F, Bhat NR (2004) Redox regulation of glial inflammatory response to lipopolysaccharide and interferongamma. J Neurosci Res 77(4):540–551. doi:10.1002/jnr.20180
Perry VH (2004) The influence of systemic inflammation on inflammation in the brain: implications for chronic neurodegenerative disease. Brain Behav Immun 18(5):407–413. doi:10.1016/j.bbi.2004.01.004S0889159104000261
Perry VH, Matyszak MK, Fearn S (1993) Altered antigen expression of microglia in the aged rodent CNS. Glia 7(1):60–67. doi:10.1002/glia.440070111
Perry VH, Newman TA, Cunningham C (2003) The impact of systemic infection on the progression of neurodegenerative disease. Nat Rev Neurosci 4(2):103–112. doi:10.1038/nrn1032nrn1032
Perry VH, Cunningham C, Holmes C (2007) Systemic infections and inflammation affect chronic neurodegeneration. Nat Rev Immunol 7(2):161–167. doi:10.1038/nri2015
Picca A, Fracasso F, Pesce V, Cantatore P, Joseph AM, Leeuwenburgh C, Gadaleta MN, Lezza AM (2012) Age- and calorie restriction-related changes in rat brain mitochondrial DNA and TFAM binding. Age (Dordr) 35(5):1607–1620. doi:10.1007/s11357-012-9465-z
Qin L, Li G, Qian X, Liu Y, Wu X, Liu B, Hong JS, Block ML (2005) Interactive role of the toll-like receptor 4 and reactive oxygen species in LPS-induced microglia activation. Glia 52(1):78–84. doi:10.1002/glia.20225
Raj DDA, Jaarsma D, Holtman IR, Olah M, Ferreira FM, Schaafsma W, Brouwer N, Meijer MM, de Waard MC, van der Pluijm I, Brandt R, Kreft KL, Laman JD, de Haan G, Biber KPH, Hoeijmakers JHJ, Eggen BJL, Boddeke HWGM (2014) Priming of Microglia in a DNA-Repair Deficient Model of Accelerated Aging. Neurobiol Aging 35(9):2147–2160
Ramirez G, Rey S, von Bernhardi R (2008) Proinflammatory stimuli are needed for induction of microglial cell-mediated AbetaPP and Abeta-neurotoxicity in hippocampal cultures. J Alzheimers Dis 15(1):45–59
Rogers J, Strohmeyer R, Kovelowski CJ, Li R (2002) Microglia and inflammatory mechanisms in the clearance of amyloid beta peptide. Glia 40(2):260–269. doi:10.1002/glia.10153
Salat DH, Buckner RL, Snyder AZ, Greve DN, Desikan RS, Busa E, Morris JC, Dale AM, Fischl B (2004) Thinning of the cerebral cortex in aging. Cereb Cortex 14(7):721–730. doi:10.1093/cercor/bhh032bhh032
Salat DH, Tuch DS, Hevelone ND, Fischl B, Corkin S, Rosas HD, Dale AM (2005) Age-related changes in prefrontal white matter measured by diffusion tensor imaging. Ann N Y Acad Sci 1064:37–49. doi:10.1196/annals.1340.009
Salminen A, Ojala J, Kaarniranta K, Kauppinen A (2012) Mitochondrial dysfunction and oxidative stress activate inflammasomes: impact on the aging process and age-related diseases. Cell Mol Life Sci 69(18):2999–3013. doi:10.1007/s00018-012-0962-0
Schmierer B, Hill CS (2007) TGFbeta-SMAD signal transduction: molecular specificity and functional flexibility. Nat Rev Mol Cell Biol 8(12):970–982. doi:10.1038/nrm2297
Seidel-Rogol BL, Shadel GS (2002) Modulation of mitochondrial transcription in response to mtDNA depletion and repletion in HeLa cells. Nucleic Acids Res 30(9):1929–1934
Sheng JG, Mrak RE, Griffin WS (1998) Enlarged and phagocytic, but not primed, interleukin-1 alpha-immunoreactive microglia increase with age in normal human brain. Acta Neuropathol 95(3):229–234
Sheng WS, Hu S, Feng A, Rock RB (2013) Reactive oxygen species from human astrocytes induce functional impairment and oxidative damage. Neurochem Res 38(10):2148–2159
Shock N, Greulich R, Costa P, Andres R, Lakatta E, Arenberg D, Tobin J (1984) Normal human aging: the baltimore longitudinal study of aging. US Department of Health and Human Services, Baltimore
Sierra A, Gottfried-Blackmore AC, McEwen BS, Bulloch K (2007) Microglia derived from aging mice exhibit an altered inflammatory profile. Glia 55(4):412–424. doi:10.1002/glia.20468
Sierra A, Encinas JM, Deudero JJ, Chancey JH, Enikolopov G, Overstreet-Wadiche LS, Tsirka SE, Maletic-Savatic M (2010) Microglia shape adult hippocampal neurogenesis through apoptosis-coupled phagocytosis. Cell Stem Cell 7(4):483–495. doi:10.1016/j.stem.2010.08.014
Sierra A, Abiega O, Shahraz A, Neumann H (2013) Janus-faced microglia: beneficial and detrimental consequences of microglial phagocytosis. Front Cell Neurosci 7:6. doi:10.3389/fncel.2013.00006
Siskova Z, Tremblay ME (2013) Microglia and synapse: interactions in health and neurodegeneration. Neural Plast 2013:425845
Smith RG, Betancourt L, Sun Y (2005) Molecular endocrinology and physiology of the aging central nervous system. Endocr Rev 26(2):203–250. doi:10.1210/er.2002-0017
Sowell ER, Peterson BS, Thompson PM, Welcome SE, Henkenius AL, Toga AW (2003) Mapping cortical change across the human life span. Nat Neurosci 6(3):309–315. doi:10.1038/nn1008nn1008
Sriram K, Matheson JM, Benkovic SA, Miller DB, Luster MI, O’Callaghan JP (2002) Mice deficient in TNF receptors are protected against dopaminergic neurotoxicity: implications for Parkinson’s disease. FASEB J 16(11):1474–1476. doi:10.1096/fj.02-0216fje02-0216fje
Streit WJ (2006) Microglial senescence: does the brain’s immune system have an expiration date? Trends Neurosci 29(9):506–510. doi:10.1016/j.tins.2006.07.001
Streit WJ, Sammons NW, Kuhns AJ, Sparks DL (2004) Dystrophic microglia in the aging human brain. Glia 45(2):208–212. doi:10.1002/glia.10319
Sun L, Wu Z, Hayashi Y, Peters C, Tsuda M, Inoue K, Nakanishi H (2012) Microglial cathepsin B contributes to the initiation of peripheral inflammation-induced chronic pain. J Neurosci 32(33):11330–11342. doi:10.1523/JNEUROSCI.0677-12.2012
Taylor RC, Dillin A (2011) Aging as an event of proteostasis collapse. Cold Spring Harb Perspect Biol 3:5. doi:10.1101/cshperspect.a004440
Terada K, Yamada J, Hayashi Y, Wu Z, Uchiyama Y, Peters C, Nakanishi H (2010) Involvement of cathepsin B in the processing and secretion of interleukin-1beta in chromogranin A-stimulated microglia. Glia 58(1):114–124. doi:10.1002/glia.20906
Tesseur I, Zou K, Esposito L, Bard F, Berber E, Can JV, Lin AH, Crews L, Tremblay P, Mathews P, Mucke L, Masliah E, Wyss-Coray T (2006) Deficiency in neuronal TGF-beta signaling promotes neurodegeneration and Alzheimer’s pathology. J Clin Invest 116(11):3060–3069. doi:10.1172/JCI27341
Thompson LV (2009) Age-related muscle dysfunction. Exp Gerontol 44(1–2):106–111. doi:10.1016/j.exger.2008.05.003
Tichauer JE, von Bernhardi R (2012) Transforming growth factor-beta stimulates beta amyloid uptake by microglia through Smad3-dependent mechanisms. J Neurosci Res 90(10):1970–1980. doi:10.1002/jnr.23082
Tichauer JE, Flores B, Soler B, Eugenin-von Bernhardi L, Ramirez G, von Bernhardi R (2014) Age-dependent changes on TGFbeta1 Smad3 pathway modify the pattern of microglial cell activation. Brain Behav Immun 37:187–196. doi:10.1016/j.bbi.2013.12.018
Tremblay ME, Zettel ML, Ison JR, Allen PD, Majewska AK (2012) Effects of aging and sensory loss on glial cells in mouse visual and auditory cortices. Glia 60(4):541–558. doi:10.1002/glia.22287
Tschopp J, Schroder K (2010) NLRP3 inflammasome activation: the convergence of multiple signalling pathways on ROS production? Nat Rev Immunol 10(3):210–215. doi:10.1038/nri2725
Ueberham U, Ueberham E, Gruschka H, Arendt T (2006) Altered subcellular location of phosphorylated Smads in Alzheimer’s disease. Eur J Neurosci 24(8):2327–2334. doi:10.1111/j.1460-9568.2006.05109.x
Vancompernolle K, Van Herreweghe F, Pynaert G, Van de Craen M, De Vos K, Totty N, Sterling A, Fiers W, Vandenabeele P, Grooten J (1998) Atractyloside-induced release of cathepsin B, a protease with caspase-processing activity. FEBS Lett 438(3):150–158, doi:S0014-5793(98)01275-7 [pii]
VanGuilder HD, Bixler GV, Brucklacher RM, Farley JA, Yan H, Warrington JP, Sonntag WE, Freeman WM (2011) Concurrent hippocampal induction of MHC II pathway components and glial activation with advanced aging is not correlated with cognitive impairment. J Neuroinflammation 8:138. doi:10.1186/1742-2094-8-138
Vijg J, Campisi J (2008) Puzzles, promises and a cure for ageing. Nature 454(7208):1065–1071. doi:10.1038/nature07216
von Bernhardi R (2007) Glial cell dysregulation: a new perspective on Alzheimer disease. Neurotox Res 12(4):215–232
von Bernhardi R, Eugenin J (2004) Microglial reactivity to beta-amyloid is modulated by astrocytes and proinflammatory factors. Brain Res 1025(1–2):186–193. doi:10.1016/j.brainres.2004.07.084
von Bernhardi R, Ramirez G (2001) Microglia-astrocyte interaction in Alzheimer’s disease: friends or foes for the nervous system? Biol Res 34(2):123–128
von Bernhardi R, Ramirez G, Toro R, Eugenin J (2007) Pro-inflammatory conditions promote neuronal damage mediated by Amyloid Precursor Protein and decrease its phagocytosis and degradation by microglial cells in culture. Neurobiol Dis 26(1):153–164. doi:10.1016/j.nbd.2006.12.006
Werner F, Jain MK, Feinberg MW, Sibinga NE, Pellacani A, Wiesel P, Chin MT, Topper JN, Perrella MA, Lee ME (2000) Transforming growth factor-beta 1 inhibition of macrophage activation is mediated via Smad3. J Biol Chem 275(47):36653–36658. doi:10.1074/jbc.M004536200M004536200
Wong WT (2013) Microglial aging in the healthy CNS: phenotypes, drivers, and rejuvenation. Front Cell Neurosci 7:22
Wu Z, Sun L, Hashioka S, Yu S, Schwab C, Okada R, Hayashi Y, McGeer PL, Nakanishi H (2013) Differential pathways for interleukin-1beta production activated by chromogranin A and amyloid beta in microglia. Neurobiol Aging 34(12):2715–2725. doi:10.1016/j.neurobiolaging.2013.05.018
Wyss-Coray T, Lin C, Yan F, Yu GQ, Rohde M, McConlogue L, Masliah E, Mucke L (2001) TGF-beta1 promotes microglial amyloid-beta clearance and reduces plaque burden in transgenic mice. Nat Med 7(5):612–618. doi:10.1038/87945
Yamamoto K, Shimokawa T, Yi H, Isobe K, Kojima T, Loskutoff DJ, Saito H (2002) Aging accelerates endotoxin-induced thrombosis: increased responses of plasminogen activator inhibitor-1 and lipopolysaccharide signaling with aging. Am J Pathol 161(5):1805–1814, doi:S0002-9440(10)64457-4 [pii]
Ye SM, Johnson RW (1999) Increased interleukin-6 expression by microglia from brain of aged mice. J Neuroimmunol 93(1–2):139–148
Ye SM, Johnson RW (2001) An age-related decline in interleukin-10 may contribute to the increased expression of interleukin-6 in brain of aged mice. Neuroimmunomodulation 9(4):183–192
Yung RL, Julius A (2008) Epigenetics, aging, and autoimmunity. Autoimmunity 41(4):329–335. doi:10.1080/08916930802024889
Zhang H, Spapen H, Nguyen DN, Benlabed M, Buurman WA, Vincent JL (1994) Protective effects of N-acetyl-L-cysteine in endotoxemia. Am J Physiol 266(5 Pt 2):H1746–H1754
Zhang Q, Wu Y, Zhang P, Sha H, Jia J, Hu Y, Zhu J (2012) Exercise induces mitochondrial biogenesis after brain ischemia in rats. Neuroscience 205:10–17. doi:10.1016/j.neuroscience.2011.12.053
Zhou R, Yazdi AS, Menu P, Tschopp J (2011) A role for mitochondria in NLRP3 inflammasome activation. Nature 469(7329):221–225. doi:10.1038/nature09663
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von Bernhardi, R., Flores, B., Nakanishi, H. (2014). Aging. In: Tremblay, MÈ., Sierra, A. (eds) Microglia in Health and Disease. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-1429-6_13
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